Disease Prediction

41 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks

cair/pyTsetlinMachine 10 May 2019

In this paper, we apply a new promising tool for pattern classification, namely, the Tsetlin Machine (TM), to the field of disease forecasting.

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

noxtoby/TADPOLE 9 Feb 2020

TADPOLE's unique results suggest that current prediction algorithms provide sufficient accuracy to exploit biomarkers related to clinical diagnosis and ventricle volume, for cohort refinement in clinical trials for Alzheimer's disease.

Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection

xuhongzuo/DeepOD 13 Jun 2018

However, existing unsupervised representation learning methods mainly focus on preserving the data regularity information and learning the representations independently of subsequent outlier detection methods, which can result in suboptimal and unstable performance of detecting irregularities (i. e., outliers).

Naive Bayes and Text Classification I - Introduction and Theory

rafaelcl292/projeto1-cdados 16 Oct 2014

Naive Bayes classifiers, a family of classifiers that are based on the popular Bayes' probability theorem, are known for creating simple yet well performing models, especially in the fields of document classification and disease prediction.

VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers

SharifAmit/VTGAN 14 Apr 2021

The only non-invasive method for capturing retinal vasculature is optical coherence tomography-angiography (OCTA).

Unsupervised Pre-Training on Patient Population Graphs for Patient-Level Predictions

chantalmp/unsupervised-pre-training-on-patient-population-graphs-for-patient-level-predictions 23 Mar 2022

We test our method on two medical datasets of patient records, TADPOLE and MIMIC-III, including imaging and non-imaging features and different prediction tasks.

Heart Disease Prediction System using Associative Classification and Genetic Algorithm

Divyansh898/Compiler-Lab- 24 Mar 2013

Associative classifiers are especially fit to applications where maximum accuracy is desired to a model for prediction.

Spectral Graph Convolutions for Population-based Disease Prediction

parisots/population-gcn 8 Mar 2017

We demonstrate the potential of the method on the challenging ADNI and ABIDE databases, as a proof of concept of the benefit from integrating contextual information in classification tasks.

Robust Multiple Kernel k-means Clustering using Min-Max Optimization

SeojinBang/MKKC 6 Mar 2018

To address this problem and inspired by recent works in adversarial learning, we propose a multiple kernel clustering method with the min-max framework that aims to be robust to such adversarial perturbation.

Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease

parisots/population-gcn 5 Jun 2018

Graphs are widely used as a natural framework that captures interactions between individual elements represented as nodes in a graph.